Pandas Profiling Report

Dataset statistics

Number of variables	10
Number of observations	1292
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	101.1 KiB
Average record size in memory	80.1 B

Variable types

Numeric	8
Categorical	2

Warnings

`Price` is highly correlated with `Age0804` and 2 other fields	High correlation
`Age0804` is highly correlated with `Price` and 1 other fields	High correlation
`KM` is highly correlated with `Price` and 1 other fields	High correlation
`QuarterlyTax` is highly correlated with `Weight`	High correlation
`Weight` is highly correlated with `Price` and 1 other fields	High correlation
`Price` is highly correlated with `Age0804` and 1 other fields	High correlation
`Age0804` is highly correlated with `Price` and 1 other fields	High correlation
`KM` is highly correlated with `Price` and 1 other fields	High correlation
`cc` is highly correlated with `QuarterlyTax` and 1 other fields	High correlation
`QuarterlyTax` is highly correlated with `cc` and 1 other fields	High correlation
`Weight` is highly correlated with `cc` and 1 other fields	High correlation
`Price` is highly correlated with `Age0804`	High correlation
`Age0804` is highly correlated with `Price`	High correlation
`cc` is highly correlated with `Weight`	High correlation
`QuarterlyTax` is highly correlated with `Weight`	High correlation
`Weight` is highly correlated with `cc` and 1 other fields	High correlation
`KM` is highly correlated with `HP` and 2 other fields	High correlation
`HP` is highly correlated with `KM` and 4 other fields	High correlation
`Doors` is highly correlated with `Weight` and 1 other fields	High correlation
`Weight` is highly correlated with `HP` and 4 other fields	High correlation
`Age0804` is highly correlated with `KM` and 4 other fields	High correlation
`QuarterlyTax` is highly correlated with `HP` and 4 other fields	High correlation
`Price` is highly correlated with `KM` and 4 other fields	High correlation
`cc` is highly skewed (γ1 = 26.69622404)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique

Reproduction

Analysis started	2021-06-30 19:02:17.395470
Analysis finished	2021-06-30 19:02:32.258308
Duration	14.86 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	1292
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	645.5

Minimum	0
Maximum	1291
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	0
5-th percentile	64.55
Q1	322.75
median	645.5
Q3	968.25
95-th percentile	1226.45
Maximum	1291
Range	1291
Interquartile range (IQR)	645.5

Descriptive statistics

Standard deviation	373.1125835
Coefficient of variation (CV)	0.5780210434
Kurtosis	-1.2
Mean	645.5
Median Absolute Deviation (MAD)	323
Skewness	0
Sum	833986
Variance	139213
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1291	1	0.1%
403	1	0.1%
425	1	0.1%
426	1	0.1%
427	1	0.1%
428	1	0.1%
429	1	0.1%
430	1	0.1%
431	1	0.1%
432	1	0.1%
Other values (1282)	1282	99.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1291	1	0.1%
1290	1	0.1%
1289	1	0.1%
1288	1	0.1%
1287	1	0.1%
1286	1	0.1%
1285	1	0.1%
1284	1	0.1%
1283	1	0.1%
1282	1	0.1%

Price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	223
Distinct (%)	17.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10732.46904

Minimum	4400
Maximum	31275
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	4400
5-th percentile	6900
Q1	8450
median	9900
Q3	11926.25
95-th percentile	18950
Maximum	31275
Range	26875
Interquartile range (IQR)	3476.25

Descriptive statistics

Standard deviation	3622.465521
Coefficient of variation (CV)	0.3375239665
Kurtosis	3.240482811
Mean	10732.46904
Median Absolute Deviation (MAD)	1650
Skewness	1.649458653
Sum	13866350
Variance	13122256.45
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8950	101	7.8%
9950	74	5.7%
10950	58	4.5%
7950	54	4.2%
11950	41	3.2%
8250	36	2.8%
8750	35	2.7%
10500	32	2.5%
7750	32	2.5%
12950	28	2.2%
Other values (213)	801	62.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4400	1	0.1%
4450	1	0.1%
4750	1	0.1%
5150	1	0.1%
5250	2	0.2%
5600	1	0.1%
5740	1	0.1%
5750	2	0.2%
5751	1	0.1%
5800	1	0.1%

Value	Count	Frequency (%)
31275	1	0.1%
31000	1	0.1%
24990	1	0.1%
24950	2	0.2%
24500	1	0.1%
23950	1	0.1%
23750	1	0.1%
23000	1	0.1%
22950	1	0.1%
22750	1	0.1%

Age0804
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	77
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.97368421

Minimum	1
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1
5-th percentile	19
Q1	44
median	61
Q3	70
95-th percentile	79
Maximum	80
Range	79
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	18.54930636
Coefficient of variation (CV)	0.3313933434
Kurtosis	-0.06457888977
Mean	55.97368421
Median Absolute Deviation (MAD)	12
Skewness	-0.8310493009
Sum	72318
Variance	344.0767663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	65	5.0%
65	58	4.5%
80	52	4.0%
78	40	3.1%
62	37	2.9%
67	36	2.8%
77	34	2.6%
54	34	2.6%
75	33	2.6%
61	32	2.5%
Other values (67)	871	67.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	0.2%
2	2	0.2%
4	2	0.2%
6	1	0.1%
7	4	0.3%
8	9	0.7%
9	3	0.2%
10	1	0.1%
11	6	0.5%
12	2	0.2%

Value	Count	Frequency (%)
80	52	4.0%
79	27	2.1%
78	40	3.1%
77	34	2.6%
76	26	2.0%
75	33	2.6%
74	28	2.2%
73	30	2.3%
72	20	1.5%
71	21	1.6%

KM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1156
Distinct (%)	89.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68627.46827

Minimum	1
Maximum	243000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1
5-th percentile	17045.15
Q1	42499.25
median	63831
Q3	87676.25
95-th percentile	138790.25
Maximum	243000
Range	242999
Interquartile range (IQR)	45177

Descriptive statistics

Standard deviation	37714.61526
Coefficient of variation (CV)	0.5495556839
Kurtosis	1.619734528
Mean	68627.46827
Median Absolute Deviation (MAD)	22525
Skewness	1.006002007
Sum	88666689
Variance	1422392204
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43000	7	0.5%
1	7	0.5%
36000	7	0.5%
59000	6	0.5%
75000	6	0.5%
61000	5	0.4%
60000	5	0.4%
68000	4	0.3%
37000	4	0.3%
52000	4	0.3%
Other values (1146)	1237	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	7	0.5%
15	1	0.1%
225	1	0.1%
450	1	0.1%
1500	1	0.1%
3000	1	0.1%
4000	1	0.1%
5000	2	0.2%
5278	1	0.1%
5309	1	0.1%

Value	Count	Frequency (%)
243000	1	0.1%
232940	1	0.1%
218118	1	0.1%
216000	1	0.1%
207114	1	0.1%
205000	1	0.1%
204250	1	0.1%
203254	1	0.1%
200732	1	0.1%
198167	1	0.1%

HP
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.4287926

Minimum	69
Maximum	192
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	69
5-th percentile	72
Q1	86
median	110
Q3	110
95-th percentile	110
Maximum	192
Range	123
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	15.25747138
Coefficient of variation (CV)	0.1504254462
Kurtosis	9.106434146
Mean	101.4287926
Median Absolute Deviation (MAD)	0
Skewness	1.086279095
Sum	131046
Variance	232.7904329
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
110	745	57.7%
86	230	17.8%
97	149	11.5%
72	66	5.1%
90	32	2.5%
69	31	2.4%
107	16	1.2%
192	11	0.9%
116	8	0.6%
98	2	0.2%
Other values (2)	2	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
69	31	2.4%
71	1	0.1%
72	66	5.1%
73	1	0.1%
86	230	17.8%
90	32	2.5%
97	149	11.5%
98	2	0.2%
107	16	1.2%
110	745	57.7%

Value	Count	Frequency (%)
192	11	0.9%
116	8	0.6%
110	745	57.7%
107	16	1.2%
98	2	0.2%
97	149	11.5%
90	32	2.5%
86	230	17.8%
73	1	0.1%
72	66	5.1%

cc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	13
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1576.677245

Minimum	1300
Maximum	16000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1300
5-th percentile	1300
Q1	1400
median	1600
Q3	1600
95-th percentile	2000
Maximum	16000
Range	14700
Interquartile range (IQR)	200

Descriptive statistics

Standard deviation	443.6188712
Coefficient of variation (CV)	0.2813631469
Kurtosis	866.6884018
Mean	1576.677245
Median Absolute Deviation (MAD)	0
Skewness	26.69622404
Sum	2037067
Variance	196797.7029
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1600	751	58.1%
1300	229	17.7%
1400	149	11.5%
2000	107	8.3%
1900	28	2.2%
1800	13	1.0%
1587	4	0.3%
1598	3	0.2%
1995	2	0.2%
1398	2	0.2%
Other values (3)	4	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1300	229	17.7%
1332	2	0.2%
1398	2	0.2%
1400	149	11.5%
1587	4	0.3%
1598	3	0.2%
1600	751	58.1%
1800	13	1.0%
1900	28	2.2%
1975	1	0.1%

Value	Count	Frequency (%)
16000	1	0.1%
2000	107	8.3%
1995	2	0.2%
1975	1	0.1%
1900	28	2.2%
1800	13	1.0%
1600	751	58.1%
1598	3	0.2%
1587	4	0.3%
1400	149	11.5%

Doors
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

5	608
3	560
4	123
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1292
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
5	608	47.1%
3	560	43.3%
4	123	9.5%
2	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
5	608	47.1%
3	560	43.3%
4	123	9.5%
2	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
5	608	47.1%
3	560	43.3%
4	123	9.5%
2	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1292	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	608	47.1%
3	560	43.3%
4	123	9.5%
2	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1292	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	608	47.1%
3	560	43.3%
4	123	9.5%
2	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1292	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	608	47.1%
3	560	43.3%
4	123	9.5%
2	1	0.1%

Gears
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

5	1247
6	42
3	2
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1292
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	1247	96.5%
6	42	3.3%
3	2	0.2%
4	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
5	1247	96.5%
6	42	3.3%
3	2	0.2%
4	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
5	1247	96.5%
6	42	3.3%
3	2	0.2%
4	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1292	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	1247	96.5%
6	42	3.3%
3	2	0.2%
4	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1292	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	1247	96.5%
6	42	3.3%
3	2	0.2%
4	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1292	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	1247	96.5%
6	42	3.3%
3	2	0.2%
4	1	0.1%

QuarterlyTax
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.25696594

Minimum	19
Maximum	283
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	19
5-th percentile	64
Q1	69
median	85
Q3	85
95-th percentile	185
Maximum	283
Range	264
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	40.97892647
Coefficient of variation (CV)	0.4696350145
Kurtosis	4.20118678
Mean	87.25696594
Median Absolute Deviation (MAD)	16
Skewness	1.985754622
Sum	112736
Variance	1679.272415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
85	555	43.0%
69	502	38.9%
185	88	6.8%
19	63	4.9%
234	18	1.4%
100	18	1.4%
210	16	1.2%
64	15	1.2%
197	12	0.9%
283	2	0.2%
Other values (2)	3	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	63	4.9%
40	1	0.1%
64	15	1.2%
69	502	38.9%
72	2	0.2%
85	555	43.0%
100	18	1.4%
185	88	6.8%
197	12	0.9%
210	16	1.2%

Value	Count	Frequency (%)
283	2	0.2%
234	18	1.4%
210	16	1.2%
197	12	0.9%
185	88	6.8%
100	18	1.4%
85	555	43.0%
72	2	0.2%
69	502	38.9%
64	15	1.2%

Weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1072.002322

Minimum	1000
Maximum	1480
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1000
5-th percentile	1015
Q1	1040
median	1070
Q3	1085
95-th percentile	1140
Maximum	1480
Range	480
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	50.29384602
Coefficient of variation (CV)	0.04691579952
Kurtosis	12.6753301
Mean	1072.002322
Median Absolute Deviation (MAD)	30
Skewness	2.511349803
Sum	1385027
Variance	2529.470947
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1075	178	13.8%
1050	144	11.1%
1015	109	8.4%
1035	95	7.4%
1070	78	6.0%
1025	63	4.9%
1065	48	3.7%
1080	39	3.0%
1060	38	2.9%
1100	38	2.9%
Other values (46)	462	35.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000	16	1.2%
1010	4	0.3%
1015	109	8.4%
1020	9	0.7%
1025	63	4.9%
1030	21	1.6%
1035	95	7.4%
1040	31	2.4%
1045	27	2.1%
1050	144	11.1%

Value	Count	Frequency (%)
1480	3	0.2%
1320	3	0.2%
1280	1	0.1%
1275	2	0.2%
1270	3	0.2%
1265	1	0.1%
1260	4	0.3%
1255	6	0.5%
1245	3	0.2%
1205	4	0.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Unnamed: 0	Price	Age0804	KM	HP	cc	Doors	Gears	QuarterlyTax	Weight
0	0	16450	20	22588	97	1400	5	5	85	1110
1	1	7950	75	57144	110	1600	5	5	85	1070
2	2	10950	59	79660	86	1300	5	5	85	1065
3	3	8950	65	60000	86	1300	3	5	69	1015
4	4	9950	55	44537	97	1400	3	5	69	1025
5	5	16750	24	25563	110	1600	3	5	19	1065
6	6	8900	59	36954	110	1600	3	5	69	1050
7	7	7450	76	154900	72	2000	5	5	185	1140
8	8	7250	74	130025	110	1600	3	5	69	1050
9	9	7950	68	57565	86	1300	5	5	69	1035

Last rows

	Unnamed: 0	Price	Age0804	KM	HP	cc	Doors	Gears	QuarterlyTax	Weight
1282	1282	16250	19	29441	97	1400	5	5	85	1110
1283	1283	9450	52	104805	97	1400	3	5	69	1025
1284	1284	10950	57	40214	86	1300	3	5	69	1025
1285	1285	12750	33	27240	110	1600	5	5	85	1075
1286	1286	8000	58	70560	110	1600	3	5	69	1050
1287	1287	8950	61	81170	110	1600	4	5	69	1040
1288	1288	6750	69	60050	110	1600	3	5	69	1050
1289	1289	7400	75	74096	110	1600	3	5	69	1050
1290	1290	11450	50	50400	110	1600	5	5	85	1080
1291	1291	8500	74	66718	110	1600	3	5	69	1050

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows